Learning Machine Identification of Ferromagnetic UXO Using Magnetometry-Reference-Cited by-同舟云学术

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Learning Machine Identification of Ferromagnetic UXO Using Magnetometry

Published:2015-02 Issue:2 Volume:8 Page:835-844
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Bray Matthew P.,Link Curtis A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/7038747/06942185.pdf?arnumber=6942185

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inverse modelling and classification of magnetic responses to improve marine unexploded ordnance rationalization;Geophysical Journal International;2024-02-02

2. Analysis of alternative strategies applied to Naïve-Bayes classifier into the recognition of electrofacies: Application in well-log data at Recôncavo Basin, North-East Brazil;Geoenergy Science and Engineering;2023-08

3. On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models;Sensors;2023-07-30

4. Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data;Intelligent Data Engineering and Automated Learning – IDEAL 2023;2023

5. Magnetic anomalies characterization: Deep learning and explainability;Computers & Geosciences;2022-12

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